ScribFormer: Transformer Makes CNN Work Better for Scribble-based
Medical Image Segmentation

ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation

3 February 2024

Zihan Li

Yuan-ting Zhang

Papers citing "ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation"

5 / 5 papers shown

Title
QMaxViT-Unet+: A Query-Based MaxViT-Unet with Edge Enhancement for Scribble-Supervised Segmentation of Medical Images Thien B. Nguyen-Tat Hoang-An Vo Phuoc-Sang Dang 65 0 0 17 Feb 2025
LViT: Language meets Vision Transformer in Medical Image Segmentation Zihan Li Yunxiang Li Qingde Li Puyang Wang Dazhou Guo Le Lu D. Jin You Zhang Qingqi Hong VLM MedIm 57 128 0 29 Jun 2022
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 195 173 0 05 Feb 2021
Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence Siyue Yu Bingfeng Zhang Jimin Xiao Eng Gee Lim 77 124 0 08 Dec 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015